DeviceHive is Nominated for Best IoT Open Source Product
Machine Learning for Asset Management
- Reducing the human resources involved and automating the process;
- Constantly improving image recognition models using the regression learning pipeline;
- Ensuring that image recognition algorithms work on resource-limited devices, making it possible to use the solution in real time without cloud computation power;
- Using cloud technologies to scale the solution.
CNC Controller in Python
RPi3 vs DragonBoard from the Python Perspective
Sleep Tracking IoT Platform
Big Data News Digest for November, 2016
DataArt Wins Microsoft Azure Certified ISV Solution Partner of the Year Award
DataArt at MWC 2016
- Software defined infrastructure and CPE
- Home automation scenarios
- Industrial automation and predictive maintenance
- Scalable container-based cloud platform orchestrated by Juju
Learn IoT with the Best
- a chatroom to ask live questions during the conferences;
- Q&A forum after the conferences during which both experts and attendees can share knowledge and information;
- one-to-one live mentoring sessions with the chosen expert(s);
- downloadable presentations at the attendees’ disposal;
- 6-month guaranteed access to the conferences, Q&A forum and one-to-one sessions.
Enterprise Developers can’t miss the NY Open Source IoT Summit
- How to create and package enterprise IoT apps;
- Monetizing IoT and selling IoT apps through IoT app stores;
- IoT security;
- Easily supporting different IoT standards;
- How to connect IoT devices to the cloud and use Azure IoT services;
- Open source tools to easily write and package IoT apps in any language;
- Learn about DeviceHive, the open source IoT platform that greatly accelerates your IoT product development;
- How to automatically test changes and roll them out securely in production;
- Sample Industrial IoT solutions like open source predictive maintenance.
Open Source IoT Solutions on Azure
DataArt, the maker of DeviceHive, and Canonical, the maker of Snappy, Ubuntu and Juju, present Open IoT Solutions on Azure Events.
DataArt and Canonical are demonstrating industrial preventive maintenance and home IoT scenarios, that can be prototyped, scaled, and deployed. DataArt’s DeviceHive running on Canonical’s Ubuntu VM, are available on the Microsoft Azure Marketplace, providing accessibility to a flexible IoT platform. New bundled IoT solutions and examples, DeviceHive on Snappy (RPii), Data Analytics stack deployed by Juju, and Microsoft Azure services, will be discussed and demonstrated.
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Ready to visit the event? Find the details here!
The event will take place at Microsoft's New York Conference Center, Central Park East (6th fl, 6501a). November 12, 2015. 1 pm - 5 pm. 11 Times Square, NYC.
KidPRO App — Improving Adherence in Clinical Trials
Pills Adjutant — medication adherence tool for iOS and Android
DeviceHive + BLE + Zeppelin Demo
DeviceHive platform arrives on Azure Marketplace
New R&D Projects on DataArt Orange
DeviceHive becomes a member of AllSeen Alliance
DataArt on the Leading Edge of Food Recognition
DeviceHive at Microsoft Build 2015
IoT: instant and scalable integration with DeviceHive and Juju
Wearable Technology to Change the Industry
Evolution of iOS applications
DataArt Orange to integrate its food recognition engine with Apple HealthKit and Voice Recognition
Eat’n’Click is an application developed by DataArt that helps people track the nutritional content of foods they consume. The app automatically tracks calorie information by scanning photographs of food.
Its prototype is available on the App Store and can recognize a number of fruits with more than an 85% success rate. Recently the application was demonstrated by the DataArt team during the Health 2.0 Europe 2014 event in London and was highly appreciated by its participants.
Following industry trends and the high attention Apple HealthKit is receiving, DataArt’s Research Lab decided to move forward by automating the tracking of users’ nutrition habits. DataArt is planning to build a PoC prototype to integrate with Apple HealthKit. Also, we plan to implement a voice recognition engine with it. The aim of DataArt’s Orange R&D initiative is to reduce the gap between humanity and computers. And we strongly believe that this step will be highly effective.

DataArt ORANGE at Health 2.0 Europe 2014
